A statistics-based method for cluster analysis of the forest sector at the national and subnational level in Germany

Kies, Uwe; Mrosek, T.; Schulte, Andreas

doi:10.1080/02827580802348043

Cited by 11 publications

(9 citation statements)

References 5 publications

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“…For instance, Feng et al (2016) used an AHP and cluster analysis for a dynamic assessment of forest resources quality, while Oblak and Glavonjić (2014) used the AHP method for an evaluation of radio advertisements for the sale of timber products. Kies et al (2008) used a cluster analysis in their research on the forest sector in Germany, and Michinaka et al (2010) used a cluster analysis to estimate prices and GDP elasticity of the demand for sawn wood. Kivijärvi and Tuominen (1996) gave different methods of decision aid processes in the strategic planning of a wood-processing company.…”

Section: Resultsmentioning

confidence: 99%

Improvements to the Production Management System of Wood-processing in Small and Medium Enterprises in Southeast Europe

Dušak¹,

Jelačić

Barčić

et al. 2017

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Small and Medium Enterprises (SMEs) make up over 99% of all industrial enterprises in southeast Europe. A similar percentage of SMEs can be found within southeast Europe's wood-processing and furniture manufacturing companies. This research aimed to investigate the current situation in the production management systems of SMEs in wood-processing companies in select Southeast European countries and to suggest possible improvements according to the results. A total of 30 small and medium companies from different countries in the region were surveyed to investigate the advantages and disadvantages of their production management systems. This research aimed to propose a model to create better systems within SMEs in the woodprocessing branch and, therefore, achieve better production and business results. In addition, a total of 10 experts who work with management systems in wood-processing from the examined countries were surveyed with the same purpose. The Analytical Hierarchy Process (AHP) analysis of experts' opinions showed that the managers in small and medium enterprises for wood-processing and furniture manufacturing should pay the most attention to the conditions of the market, promotion, marketing, range of products, and product quality.

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Section: Resultsmentioning

confidence: 99%

Improvements to the Production Management System of Wood-processing in Small and Medium Enterprises in Southeast Europe

Dušak¹,

Jelačić

Barčić

et al. 2017

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“…In Germany, recent cluster analysis approaches have offered a new view of the forest and wood-based industries, revealing the significant (and underestimated) economic impact of the forest sector on both national and subnational/state levels (Kies et al 2008;Jaensch and Harsche 2007;Kramer and Möller 2006;Schulte and Mrosek 2006;Seegmüller 2005;Mrosek et al 2005;Schulte 2002Schulte , 2003a. In terms of employment the forest cluster is considered to be one of the most important industrial sectors in Germany ranking high among comparable national sectors.…”

Section: Introductionmentioning

confidence: 98%

“…However, allocating these industries to separate sections of the NACE results in a segregated statistical assessment of wood-based activities and a misconception (or distortion) of the sector's actual size in national economies ( Fig. 1) (Kies et al 2008).…”

Section: Introductionmentioning

confidence: 99%

Regional employment trends of wood-based industries in Germany’s forest cluster: a comparative shift-share analysis of post-reunification development

2009

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After reunification in 1990, Germany's forest cluster developed anew and employment in the woodbased industries differentiated very quickly. With more than 900,000 employees, it is now considered one of the most important industrial sectors in the country. This paper analysed general trends in the development of employment of wood-based industries in the German forest cluster between 1999 and 2006. Shift-share analysis was considered to be the most appropriate way to determine regional differences in the subsection DD/20 'Manufacture of wood and wood products' of the code ''Classification of Economic Activities in the European Community, Revision 1.1'' (NACE): the sawmill industry, the wood-based panel industry, the wood construction industry, the wood-based packaging industry, and the miscellaneous wood products industry. This method decomposed the change of employment into three different components that are due to that change: national trends, (industrial) sectoral trends, and regional conditions. Employment in the selected woodbased industries showed a significantly larger decrease than overall trends in both the producing industries and the whole economy of Germany: a continual loss of employees could be observed over the time period, affecting almost all of the selected wood-based industries. However, federal states in western and eastern Germany experienced divergent trends between 1999 and 2006, as different absolute and relative regional share components indicated in the shift-share analysis. This method allows of identifying regional disparities and characterising regions with positive (mainly eastern federal states) and negative (mainly western federal states) rates of employment growth. The research suggests that positive employment trends in eastern Germany's wood-based industries can mainly be attributed to regional factors such as comparatively higher subsidies for new investments, lower labour costs, lower land values or infrastructural peculiarities.

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“…The privately owned forest area is distributed over a large number of owners (> 150,000), managing mostly small parcels of forest land [56,57]. The forest and wood-based industry cluster of NRW consists of about 200,000 employees and a turnover of approximately 40 billion Euro, making this forest and wood industry cluster the strongest within Germany and one of the most significant ones within Europe [37,39,49,57].…”

Section: Study Areamentioning

confidence: 99%

“…Examples for methodological developments and discussions concerning the cluster concept in forestry can be found in the area of spatial and statistical analysis [49][50][51], management [29,52] and marketing [53].…”

Section: Introductionmentioning

confidence: 99%

A Framework for Stakeholder Analysis of Forest and Wood-Based Industry Clusters – Case Study at the State of North Rhine-Westphalia, Germany

Mrosek¹

2010

TOFSCIJ

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Concepts and methods for stakeholder analysis in forestry need further development and refinement in the context of the cluster concept and there is a lack of suitable information concerning the communication and cooperation patterns between stakeholders of the different industry branches and along the chain of production and value-adding.Within this research project, a framework for stakeholders analysis of forest and wood-based industry clusters was developed and tested as a case study at the State of North Rhine-Westphalia (NRW) in Germany.The study is based on methods of cluster and stakeholder analysis as well as the analysis and assessment of stakeholder and corporate networks. The case study was carried out based on a questionnaire survey among 632 stakeholder organizations (response rate 35.9%).The framework consists of three moduls: stakeholder identification, stakeholder analysis and assessment, and stakeholder networking and cluster management. The NRW forest sector is characterized by more than 630 stakeholder organizations, covering a wide range of industry branches and different spatial scales. The institutional characteristics vary highly. Stakeholder communication and cooperation mostly takes place between directly linked industry branches along the chain of production and value-adding. Recommendations for improved communication and cooperation include the establishment or further development of cooperation platforms or networks.The presented framework supports stakeholder analysis under the cluster perspective. If applied in a consistent and transparent way, the framework of stakeholder analysis can contribute to more holistic, standardized, replicable and comparable descriptions of forest and wood-based industry clusters in Europe and abroad.

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A statistics-based method for cluster analysis of the forest sector at the national and subnational level in Germany

Cited by 11 publications

References 5 publications

Improvements to the Production Management System of Wood-processing in Small and Medium Enterprises in Southeast Europe

Improvements to the Production Management System of Wood-processing in Small and Medium Enterprises in Southeast Europe

Regional employment trends of wood-based industries in Germany’s forest cluster: a comparative shift-share analysis of post-reunification development

A Framework for Stakeholder Analysis of Forest and Wood-Based Industry Clusters – Case Study at the State of North Rhine-Westphalia, Germany

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